Jinglei Cheng
Computer Science · Purdue University West Lafayette
Publications
34
Citations
126
Est. group size
—
Recurring co-author estimate
Active years
10
Publishing since 2017
Jinglei Cheng's research focuses on making quantum computers more practical to build and use, working on problems like compiling and optimizing quantum programs, distributing quantum computations across multiple devices, calibrating quantum hardware, and applying quantum algorithms to tasks such as drug discovery, community detection, and machine learning. Much of the work bridges quantum computing theory with real hardware constraints, aiming to improve efficiency, scalability, and reliability of quantum systems.
Publication output has grown substantially over the last decade, rising from occasional papers before 2022 to a sustained higher rate of 6-12 papers per year from 2022 through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Quantum-machine-assisted drug discovery
npj Drug Discovery. · 2026
- Symbolic analysis of Grover search algorithm via Chain-of-Thought reasoning and quantum-native tokenization
npj Quantum Information · 2026
- ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout
2025
- Hardware-aware Calibration Protocol for Quantum Computers
2025
- Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation
2025
- Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy
arXiv (Cornell University) · 2025
- EDDQC: Enhanced Dynamical Distributing Quantum Compilation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2025
- Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
arXiv (Cornell University) · 2025
- Quantum Repeaters Enhanced by Vacuum Beam Guides
2025
- Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
2025
- Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
2024
- Combining Parameterized Pulses and Contextual Subspace for More Practical VQE
2024
- Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
arXiv (Cornell University) · 2024
- Compiler Optimizations for QAOA
2024
- EPOC: A Novel Pulse Generation Framework Incorporating Advanced Synthesis Techniques for Quantum Circuits
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×20
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×1
- npj Drug Discovery.×1
- AIP Advances×1
- npj Quantum Information×1
- David E. Bernal Neira
Computer Science · Purdue University West Lafayette
- Yuchen Wang
Computer Science · Purdue University West Lafayette
- Raja Selvarajan
Computer Science · Purdue University West Lafayette
- Zixuan Hu
Computer Science · Purdue University West Lafayette
- Jie Liu
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile